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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16383
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    Explanations

    dates in "Month Year" format

    oai_token-act-pair · gpt-3.5-turbo

    the word "a" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Edit
    -0.92
    coins
    -0.80
    Enjoy
    -0.80
    <?
    -0.79
    lets
    -0.78
    plates
    -0.76
    Contents
    -0.75
    lly
    -0.73
    apps
    -0.73
    lest
    -0.72
    POSITIVE LOGITS
     couple
    1.06
     successful
    1.05
     concerted
    1.04
     lengthy
    1.02
     slight
    1.02
     brief
    0.98
     few
    0.97
     protracted
    0.97
     prolonged
    0.94
     slew
    0.93
    Activations Density 0.148%

    No Known Activations